SynthesisFrontiers in oncology2022
Predictive value of baseline metabolic tumor volume for non-small-cell lung cancer patients treated with immune checkpoint inhibitors: A meta-analysis.
Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic superiority of volumetric PET parameters (MTV and TLG) over SUV in advanced non-small-cell lung cancer: a systematic review and meta-analysis of univariate and multivariate evidence.Frontiers in immunology · 2026Pooled it
- Cascaded deep learning for automated lung cancer tumour burden quantification on [Quantitative imaging in medicine and surgery · 2026Article
- Prognostic value of [BMC medical imaging · 2026Article
- Prognostic value of integrated FDG PET/CT avidity and CT morphologic subtypes in invasive mucinous adenocarcinoma of the lung.Annals of nuclear medicine · 2026Article
- Spatial imaging features derived from SUVmax location in resectable NSCLC are associated with tumor aggressiveness.European journal of nuclear medicine and molecular imaging · 2026Article
- Exploring the metabolic-immune score in advanced NSCLC treated with immunotherapy.Scientific reports · 2025Article
- The utility ofCancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Predictive performance of [Quantitative imaging in medicine and surgery · 2024Article
- Predictive Value of Total Metabolic Tumor Burden Prior to Treatment in NSCLC Patients Treated with Immune Checkpoint Inhibition.Journal of clinical medicine · 2023Article
- Article
- The association of metabolic positron emission tomography/computed tomography parameters with survival in small cell lung cancer.Annals of Saudi medicineArticle
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Immune checkpoint inhibitors (ICIs) have emerged as a promising treatment option for advanced non-small-cell lung cancer (NSCLC) patients, highlighting the need for biomarkers to identify responders and predict the outcome of ICIs. The purpose of this study was to evaluate the predictive value of baseline standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) derived from 18F-FDG-PET/CT in advanced NSCLC patients receiving ICIs. Methods: PubMed and Web of Science databases were searched from January 1st, 2011 to July 18th, 2022, utilizing the search terms "non-small-cell lung cancer", "PET/CT", "standardized uptake value", "metabolic tumor volume", " total lesion glycolysis", and "immune checkpoint inhibitors". Studies that analyzed the association between PET/CT parameters and objective response, immune-related adverse events (irAEs) and prognosis of NSCLC patients treated with ICIs were included. We extracted the hazard ratio (HR) with a 95% confidence interval (CI) for progression-free survival (PFS) and overall survival (OS). We performed a meta-analysis of HR using Review Manager v.5.4.1. Results: Sixteen studies were included for review and thirteen for meta-analysis covering 770 patients. As for objective response and irAEs after ICIs, more studies with consistent assessment methods are needed to determine their relationship with MTV. In the meta-analysis, low SUVmax corresponded to poor PFS with a pooled HR of 0.74 (95% CI, 0.57-0.96, P=0.02). And a high level of baseline MTV level was related to shorter PFS (HR=1.45, 95% CI, 1.11-1.89, P<0.01) and OS (HR, 2.72; 95% CI, 1.97-3.73, P<0.01) especially when the cut-off value was set between 50-100 cm Conclusions: High level of baseline MTV corresponded to shorter PFS and OS, especially when the cut-off value was set between 50-100 cm
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